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Gautam Kamath is an Assistant Professor at the Courant Institute of Mathematical Sciences at New York University, starting in September 2026. He holds an AI Chair in Canada CIFAR and has a research focus on Data Science, specifically in the areas of Learning Theory, Algorithmic Statistics, and Privacy. His academic path includes a Ph.D. from the Massachusetts Institute of Technology (MIT), where he was advised by Costis Daskalakis and has affiliations with the Center for Brains, Minds and Machines and the Theory of Computing group at CSAIL. Gautam has contributed significantly to various fields in computer science, including oversight on numerous program committees and authored influential research in machine learning and secure data practices. He has been involved in multiple conferences, publishing seminal papers on topics like differential privacy and data protection. Gautam also engages actively with students, having taught numerous courses on machine learning and algorithms, and is recognized in the academic community for his mentorship and collaborative research efforts.
New York University, Courant Institute of Mathematical Sciences • New York, NY
Pursuing research in the fields of Learning Theory and Privacy while teaching related courses.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.